Digital transformation in HR, in which systems that concentrate data and information are used, avoids manual activities and a large volume of papers. The term HR 4.0 is closely related to Industry 4.0...
Unstructured Data: Every day, an enormous volume of data circulates on the internet and in private networks, which is therefore difficult to measure precisely. By themselves, numbers, letters, and oth...
An example of the practical applications of AI for business is in customer service. Nowadays, it is increasingly common to see companies and government agencies using chatbots to streamline support vi...
Artificial Intelligence in HR: With the rise of technology, many companies began investing in tools and solutions that automate HR routines to reduce errors and speed up slow bureaucratic processes.&n...
Microlearning: More and more, training and qualifications have new content in line with the expectations of more technological generations. At the same time, another phenomenon is the face of today: t...
In Big Data, data can be collected in different ways, which relate to how it will be stored and organized. However, considering the large volume and variety of records, they are not always of the same...
Edge computing then moves data processing, analytics, and communication skills from the center of data centers to a closer location or the devices themselves to reduce latency, ensure efficient operat...
While multi cloud is inevitable, it is necessary to drive the adoption of multiple providers, which is not happening in enterprises. We have reiterated in our articles that the pandemic, from a techno...
Suppose we can say that Artificial Intelligence (AI) has been transforming the business world in recent years by offering companies benefits such as maximum productivity, greater scalability, and less...
IIoT: Increasingly, the technologies arising from I4.0 enter organizations to make them more competitive and automated. This is the case with the IIoT. It is a valuable ally of the industry. It alread...
